Traffic surveillance & autonomous vehicles
Cooperation with DLR, Institute of Transportation Systems,
Photo: DLR
Overview
Methods
Sensors
Examples
ISIF Young Investigator Award for Prof. Baum
Xi'an, China, July 2017
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Welcome to the Data Fusion Lab!
The Data Fusion Lab was founded by Prof. Dr.-Ing. Marcus Baum in 2015. The group investigates novel methods for sensor data processing and fusion, i.e., signal and image processing, state estimation, and machine learning.
A special focus of the group are tracking problems, i.e., the successive localization of one or more mobile objects. A typical application is environment perception of autonomous systems such as intelligent vehicles.
News
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December 1, 2023:
Aaron Kurda joins the Data Fusion Lab.
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November 30, 2023:
The paper “Single-Frame Radar Odometry Incorporating Bearing Uncertainty” by K. Thormann and M. Baum receives the award for the Best Paper, 2nd Runner Up at the Combined IEEE MFI/SDF conference. Certificate
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May 1, 2023:
The paper “The Kernel-SME Filter with Adaptive Kernel Widths for Association-free Multi-target Tracking” by E. Ernst, F. Pfaff, U. D. Hanebeck, and M. Baum is among the five finalists for the Best Student Paper Award of the ACC 2023 conference in San Diego.
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July 13, 2022:
PhD defense of Jaya Shradha Fowdur with the title “Multiple Extended Target Tracking in Maritime Environment Using Marine Radar Data”
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December 10, 2021:
PhD defense of Hauke Kaulbersch with the title “Automotive Target Models for Point Cloud Sensors”
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December 9, 2021:
PhD defense of Kolja Thormann with the title “Tracking and Fusion Methods for Extended Targets Parameterized by Center, Orientation, and Semi-axes”
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April 7, 2021:
Marcus Baum becomes Dean of Studies (Computer Science) for the next three years.
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March 2, 2021:
Shishan Yang received the CIDAS Fellowship 2021.
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December 21, 2020:
Marcus Baum received the teaching award 2020 from the computer science students.
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December 7, 2020:
PhD defense of Simon Ollander with the title “Accurate Positioning in Urban Canyons with Multi-frequency Satellite Navigation”
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December 4, 2020:
PhD defense of Shishan Yang with the title “Elliptical Extended Object Tracking”
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May 26, 2020:
Marcus Baum becomes a member of the Campus-Institut Data Science (CIDAS)
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March 13, 2020:
Marcus Baum becomes a member of the newly elected executive committee of the Centre for Statistics
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November 4, 2019:
Kick-off meeting of the new project Zukunftslabor Mobilität in Brauschweig, Germany. Within this joint project, we will develop novel methods for the fusion of mobility data.
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February 28, 2019:
Marcus Baum was appointed as Full Professor of Computer Science at the University of Göttingen.
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June 1, 2018:
A press relase about our cooperation with the DLR, Institute of Transportation Systems
in the area of Sensordatenfusion und Objektverfolgung in der Verkehrsüberwachung has been published.
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November 17, 2017:
The paper A Survey of Performance Measures to Evaluate Ego-Lane Estimation and A Novel Sensor-Independent Measure Along with Its Applications by
T. T. Nguyen, J. Spehr, J. Xiong, M. Baum , S. Zug, and R. Kruse receives the Best Poster Paper Award at MFI 2017 in Daegu, South Korea.
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July 12, 2017:
Marcus Baum receives the ISIF Young Investigator Award sponsored by the International Society of Information Fusion
(ISIF). The annual award grants international recognition for outstanding contributions to the art of information fusion by a young ISIF member. This year, the award was presented by Prof. Yaakov Bar-Shalom at the 20th International Conference on Information Fusion 2017 in Xian, China, on July 12.
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April 18, 2017:
The Data Fusion Group organized the Clausthal-Göttingen International Workshop in Simulation Science. With approx. 70 participants and 39 presentations, the workshop was a huge success! For more details, see the press release.
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October 1, 2015:
The Data Fusion Group is founded at the Institute of Computer Science at the Georg-August-University Goettingen by Marcus Baum.
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Publications: Recent Highlight